LIAS Laboratory

What LIAS Laboratory does

LIAS (Laboratoire d'Informatique et d'Automatique pour les Systèmes / Laboratory of Computer Science and Automatic Control for Systems) is a French public research laboratory (UR 20299) created on January 1, 2012 through the merger of the LAII and LISI laboratories, affiliated with the University of Poitiers and ISAE-ENSMA across two campuses in Poitiers and Futuroscope/Chasseneuil. It is organized into three research teams — Automatic Control and Systems (A&S), Data Engineering (IDD), and Real-Time and Embedded Systems (SETR) — staffed by 39 teacher-researchers (50% holding the HDR qualification), 5 support staff, and approximately 20 doctoral students. Its research spans system identification and control, model-driven and knowledge engineering (including semantic data, ontologies, and RDF query relaxation), and real-time/embedded system modeling, with applied work in energy management, water treatment, complex systems modeling, embedded systems design, and bird population dynamics.

The laboratory develops a portfolio of open-source software tools distributed on GitHub under the lias-laboratory organization, including the CHEMANE platform (cooperative query answering on semantic databases) and its constituent modules (QaRS, QaRS4UKB, TMA4KB), the OntoDB/OntoQL semantic database platform, and NTripleStatistics for RDF cardinality analysis. Industry collaboration is structured around three LabCom (joint laboratory) partnerships: IONESCO with Chauvin Arnoux (measurement environments for knowledge production), @LIENOR with SRD (renewable energy integration and network optimization), and I-TireLab with Michelin and Gipsa-lab (modeling, estimation, and control for connected tires and rubber manufacturing).

LIAS does not operate a commercial revenue model. It is funded through French public university allocations, national research grants, regional Nouvelle-Aquitaine support, and industrial co-funding via the LabComs. It does not sell products or services; pricing details are not applicable. The lab's go-to-market is community-led: dissemination occurs through academic publications, open-source software releases, conference participation (e.g., ICSC 2026), and direct technology transfer to industrial partners within the LabCom framework.

Name

LIAS Laboratory

Legal name

LIAS

Website

https://lias-lab.fr

Company type

Private

Founded year

2012

Operating status

Operating

Headcount range

11–50 employees

Short description

LIAS is a French public research laboratory (UR 20299) affiliated with the University of Poitiers and ISAE-ENSMA, conducting research in automatic control, data engineering, and real-time systems, and developing open-source semantic data tools in collaboration with industrial LabCom partners.

Ownership category

akta.pro rank

Product category

Academic Research Services

NAICS

Research and Development in the Physical, Engineering, and Life Sciences (54171), Scientific Research and Development Services (5417), Computer Systems Design and Related Services (54151)

SIC

Services-Commercial Physical & Biological Research (8731)

akta.pro primary industry

Research Collaboration & Joint Labs (International Partnerships) (EDAIABAC)

Keywords

• Academic research laboratory
• Automatic control systems
• Semantic knowledge bases
• Real-time embedded systems
• Data engineering research

Headquarters

HQ city

Poitiers

HQ country

France

HQ region

Europe

Offices3 records

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Infrastructure, Technology or R&D, Operations

Revenue model

1. Public Research Funding: Government and university funding for research activities, including national research grants and institutional support

Go-to-market motion1 record

Distribution channels3 records

Marketing channels5 records

Core offering

LIAS is a French public research laboratory conducting fundamental and applied research at the intersection of Information and Communication Sciences and Technologies and Engineering Sciences. The laboratory develops open-source software tools for semantic data management and knowledge base exploitation (including the CHEMANE platform, QaRS, TMA4KB, QaRS4UKB, NTripleStatistics, and OntoDB/OntoQL), and conducts collaborative industrial research through three LabCom partnership structures.

Product overview

LIAS Laboratory is a French research laboratory affiliated with University of Poitiers and ISAE-ENSMA, conducting research in computer science and automatic control. The laboratory develops a portfolio of semantic data management and knowledge base exploitation software tools. The main products include the CHEMANE platform ecosystem (with QaRS, QaRS4UKB, TMA4KB modules), and NTripleStatistics for RDF cardinality analysis. These tools are designed for cooperative query answering, handling failing queries, query relaxation, and anomaly detection in knowledge bases and databases. The software is open-source and available on GitHub.

Differentiator

Problem solved

Functional benefit

Products and services

• CHEMANE Platform Cooperative Human sEMantic dAta maNagement & Exploitation platform. An ecosystem of modules for handling failing queries and cooperative query answering in semantic databases, composed of MFS4UDB, QaRS, QaRS4UKB, and TMA4KB modules. Open-source software distributed via GitHub.
• QaRS (Query-and-Relax System) Designed to facilitate exploitation of large knowledge bases. Provides explanation for SPARQL query failure and performs relaxation of queries to return top-k alternative answers using Minimal Failing Subqueries (MFSs) and Maximal Succeeding Subqueries (XSSs). Open-source software distributed via GitHub.
• QaRS4UKB Query-and-Relax System for Uncertain Knowledge Bases containing RDF triples with associated certainty degrees. Implements algorithms (αLBA, NLBA, Bottom-Up, Top-Down, Hybrid) to compute αMFSs and αXSSs for failing RDF queries. Open-source software distributed via GitHub.
• TMA4KB Approaches for the Too Many Answers Problem in Knowledge Bases. Implements Base, BFS, Var, Full algorithms for computing Minimal Failing Subqueries (MFIS) and Maximal Succeeding Subqueries (XSS) to help users facing overabundant query answers. Open-source software distributed via GitHub.
• NTripleStatistics Tool for computing minimum and maximum cardinality values (Global, Local, or Characteristic Set) for predicates from .nt format files. Supports RDF data analysis with algorithms for global, local, and characteristic set cardinalities. Open-source software distributed via GitHub.
• LabCom Industrial Collaborative Research Joint laboratory research partnerships with industrial companies through three LabCom structures: IONESCO with Chauvin Arnoux (measurement environments for knowledge production), @LIENOR with SRD (renewable energy integration and network optimization), and I-TireLab with Michelin and Gipsa-lab (modeling, estimation, and control for connected tires and rubber manufacturing).

Quantifiable outcome

• 3 active LabCom partnerships with industry
• +1 more outcomes

Named customers2 records

Segments2 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability5 records

Feature8 records

Partnerships

Nine partnerships are on record, tiered core and minor.

• Chauvin ArnouxcoreStrategic or Co-development PartnerIONESCO - Collaborative laboratory for Innovation and development of measurement environments for knowledge production. A dedicated industrial partnership structure for developing measurement solutions.
• SRD (Société de Distribution d'électricité)coreStrategic or Co-development Partner@LIENOR - Joint laboratory for integration of renewable energies and network optimization. SRD is the electricity distribution network operator of the Vienne department.
• MichelincoreStrategic or Co-development PartnerI-TireLab - Joint laboratory on modeling, estimation and control for connected tires and rubber manufacturing processes.
• Gipsa-labcoreStrategic or Co-development PartnerAcademic partner in I-TireLab joint laboratory for research on connected tires and rubber manufacturing.
• Université de PoitierscoreOthersHost institution and founding partner of LIAS Laboratory, providing academic framework and research infrastructure.
• ISAE-ENSMAcoreOthersHost institution and founding partner of LIAS Laboratory, providing academic framework and research infrastructure at the Futuroscope campus.
• ENSIPcoreOthersÉcole Nationale Supérieure d'Ingénieurs de Poitiers, part of Université de Poitiers, hosting LIAS laboratory facilities.
• Nouvelle AquitaineminorOthersAdministrative region providing regional funding and support for the laboratory.
• Fédération MIRESminorOthersResearch federation providing additional institutional support and coordination.

Scale indicators6 records

Recent moves5 records

Expansion highlights5 records

Direct peers

• CRAN: Nancy-based CNRS/Université de Lorraine lab in automatic control, signal processing, and production systems. Directly comparable research themes to LIAS's A&S and SETR teams.
• LORIA: Nancy-based CNRS/INRIA/Université de Lorraine computer science research lab. Comparable in software, knowledge, and data engineering research, though stronger on AI/ML than on control systems.
• ISIR: Paris-based Sorbonne University/CNRS lab in robotics, computer science, and systems. Comparable in combining automatic control, embedded/real-time systems, and data/AI research.
• ICube: Strasbourg-based CNRS/Université de Strasbourg lab in computer science, robotics, automation, and signal/image. Comparable in interdisciplinary engineering-sciences research structure.
• GIPSA-lab: Grenoble-based CNRS/INPG/UJF research lab in signal, images, speech, control, and systems; an explicit I-TireLab academic partner of LIAS. Directly comparable in control systems and signal-processing research.
• LAAS-CNRS: Large French CNRS research unit in Toulouse covering computer science, automation, robotics, and signal processing. Closely comparable to LIAS in research scope across control systems, embedded systems, and AI, though materially larger in headcount and project scale.
• LS2N: Nantes-based digital sciences lab (CNRS) covering computer science, automation, and electronics. Comparable French academic research structure with multiple teams across control, data, and real-time themes.
• LIRMM: Montpellier-based CNRS/University of Montpellier computer science, robotics, and microelectronics lab. Comparable in combining automatic control, embedded systems, and data/software research themes at similar scale.
• IRIT: Toulouse-based CNRS/Université Toulouse research institute in computer science and information technology. Overlaps with LIAS in data engineering, knowledge representation, and software research.

Broad incumbents

• INRIA: French national research institute in digital sciences with research teams across AI, data, and systems nationwide. A much larger, established player whose research themes encompass LIAS's domains at greater scale.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat3 records

Key risks5 records

Key highlights6 records

Customer concentration

• GitHubgithub.com/lias-laboratory
• YouTubeyoutube.com/channel/UCjckbOkZI2k3oiG68yoOZ9w
• LinkedInlinkedin.com/company/lias-lab
• Instagraminstagram.com/lias_laboratory

Revenue estimate

Valuation estimate

Number of profiles

Profiles4 records

Subsidiaries3 records

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about LIAS Laboratory